--- language: - sv license: cc-by-nc-4.0 task_categories: - text-generation - question-answering - summarization pretty_name: Swedish Court Decisions tags: - legal - swedish - court-decisions - llm-training - legal-nlp - nordic - precedent configs: - config_name: pretrain data_files: - split: train path: pretrain/train/*.parquet - split: validation path: pretrain/validation/*.parquet - split: test path: pretrain/test/*.parquet - config_name: instruct data_files: - split: train path: instruct/train/*.parquet - split: validation path: instruct/validation/*.parquet - split: test path: instruct/test/*.parquet - config_name: structured data_files: - split: train path: structured/train/*.parquet - split: validation path: structured/validation/*.parquet - split: test path: structured/test/*.parquet --- # Swedish Court Decisions — Svenska Domstolsavgöranden **55,096 court decisions spanning 45 years of Swedish case law, purpose-built for LLM training.** The most comprehensive open dataset of Swedish appellate court decisions available for AI development. Sourced directly from the official [Swedish Courts case law database](https://rattspraxis.etjanst.domstol.se) via their public REST API and preprocessed into three ready-to-use training configurations. --- ## Why This Dataset - **Scale and depth:** 55,096 decisions covering 1981 to present — the full sweep of modern Swedish jurisprudence - **Precedent-aware:** Every record is flagged with `ar_vagledande` (is_precedent), enabling targeted training on landmark rulings that shape Swedish law - **Tri-modal design:** Three subsets serve distinct training objectives — raw pretraining, instruction tuning, and structured information extraction - **Production-ready:** Cleaned full text, consistent schemas, train/validation/test splits in Parquet format - **Open provenance:** CC0 source data from Domstolsverket (Swedish Courts Administration), published on [dataportal.se](https://www.dataportal.se/datasets/601_3755) --- ## Courts Covered Decisions from all major Swedish appellate courts: | Court | Swedish name | Abbreviation | |---|---|---| | Supreme Court | Högsta domstolen | HD | | Supreme Administrative Court | Högsta förvaltningsdomstolen | HFD | | Courts of Appeal | Hovrätterna (Svea, Göta, Övre Norrland, m.fl.) | — | | Administrative Courts of Appeal | Kammarrätterna | — | | Land and Environment Court of Appeal | Mark- och miljööverdomstolen | MÖD | | Labour Court | Arbetsdomstolen | AD | | Migration Court of Appeal | Migrationsöverdomstolen | — | --- ## Dataset Configurations ### `pretrain` — Continued Pre-training Full-text decisions for domain-adaptive pretraining. Ideal for adapting a general Swedish or multilingual LLM to the legal domain. | Column | Type | Description | |---|---|---| | `text` | string | Cleaned full text of the decision | | `pub_id` | string | Unique publication ID | | `domstol` | string | Court name | | `datum` | string | Decision date (YYYY-MM-DD) | | `typ` | string | Decision type (e.g. `DOM_ELLER_BESLUT`) | | `ar_vagledande` | bool | **True if the decision is a binding precedent** | | `malnummer` | string | Case number | | `underratt_malnummer` | string | Lower court case number (enables cross-instance tracing) | | `text_kalla` | string | Text source: `"html"` or `"pdf"` | | `tecken` | int32 | Character count | > **Tip:** Filter on `ar_vagledande == True` to extract the subset of landmark, precedent-setting rulings — essential for training models that reason about legal authority. --- ### `instruct` — Instruction Tuning / SFT Structured prompt–response pairs for supervised fine-tuning. Five legally meaningful task types, written in Swedish, cover the core competencies of a legal assistant. | Column | Type | Description | |---|---|---| | `instruction` | string | Task description in Swedish | | `input` | string | Decision text (truncated if necessary) | | `output` | string | Expected response | | `uppgift` | string | Task type (see below) | **Task types (`uppgift`):** | Value | Description | |---|---| | `sammanfattning` | Concise summary of the decision | | `domslut` | The court's operative ruling — what was decided | | `saken` | Subject matter — what the case concerns | | `parter` | Parties — appellant and respondent | | `skal` | Legal reasoning — the court's rationale | This configuration is ready to drop into any SFT pipeline (e.g. TRL, LLaMA-Factory, Axolotl) with minimal preprocessing. --- ### `structured` — Legal Information Extraction Full text paired with JSON-structured section annotations, suitable for fine-tuning models on document parsing, section classification, and legal entity extraction. | Column | Type | Description | |---|---|---| | `fulltext` | string | Cleaned full text | | `sektioner_json` | string | JSON object with identified sections | | `malnummer` | string | Extracted case number | **Sections in `sektioner_json`:** | Key | Description | |---|---| | `titel` | Document title | | `avgörande_kort` | Short ruling summary | | `överklagat_avgörande` | The decision being appealed | | `klagande` | Appellant | | `motpart` | Respondent | | `saken` | Subject matter | | `bakgrund` | Background / facts | | `yrkanden` | Claims and prayers for relief | | `skal` | Legal reasoning | | `domslut` | Operative ruling | | `skiljaktig` | Dissenting opinion (if any) | --- ## Quick Start ```python from datasets import load_dataset # Full-text pretraining corpus ds = load_dataset("your-org/svenska-domstolsavgoranden", "pretrain") # Precedent decisions only precedents = ds["train"].filter(lambda x: x["ar_vagledande"]) # Instruction tuning sft = load_dataset("your-org/svenska-domstolsavgoranden", "instruct") # Structured extraction structured = load_dataset("your-org/svenska-domstolsavgoranden", "structured") ``` --- ## Data Source & Coverage | Property | Details | |---|---| | **Source** | [Sveriges Domstolar — Sök rättspraxis](https://rattspraxis.etjanst.domstol.se) | | **API** | `https://rattspraxis.etjanst.domstol.se/openapi/puh-openapi.yaml` | | **Open data registry** | [dataportal.se](https://www.dataportal.se/datasets/601_3755) | | **Source license** | CC0 (Domstolsverket) | | **Dataset license** | CC BY-NC 4.0 | | **Temporal coverage** | Case law summaries from 1981 — present; full decisions from March 2025 | | **Language** | Swedish (sv) | | **Total records** | 55,096 | --- ## Ethics & Privacy - All decisions are **public records** published by Domstolsverket under CC0 - Personal data in published decisions is **partially anonymized by the courts** prior to publication - This dataset is intended for **research and model training** purposes - Users are responsible for ensuring **GDPR compliance** in downstream applications - Not intended for re-identification of individuals --- ## Citation ```bibtex @dataset{swedish_court_decisions, title = {Swedish Court Decisions — Svenska Domstolsavgöranden}, source = {domstol.se (Domstolsverket)}, url = {https://rattspraxis.etjanst.domstol.se}, license = {CC0}, records = {55096}, years = {1981--2025}, } ``` --- ## Legal Notice This dataset contains court decisions published openly by Domstolsverket (Swedish Courts Administration) under CC0 license via their public REST API. Personal data has been anonymized by Domstolsverket prior to publication. Users are responsible for ensuring GDPR compliance in their own use cases. Not intended for re-identification of individuals.